Published on in Vol 14, No 2 (2012): Mar-Apr
Journals
- Gilmore L, Duhé A, Frost E, Redman L. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596 View
- Helander E, Kaipainen K, Korhonen I, Wansink B. Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study. Journal of Medical Internet Research 2014;16(4):e109 View
- Panizza C, Boushey C, Delp E, Kerr D, Lim E, Gandhi K, Banna J. Characterizing Early Adolescent Plate Waste Using the Mobile Food Record. Nutrients 2017;9(2):93 View
- Conrad J, Nöthlings U. Innovative approaches to estimate individual usual dietary intake in large-scale epidemiological studies. Proceedings of the Nutrition Society 2017;76(3):213 View
- Ashman A, Collins C, Brown L, Rae K, Rollo M. A Brief Tool to Assess Image-Based Dietary Records and Guide Nutrition Counselling Among Pregnant Women: An Evaluation. JMIR mHealth and uHealth 2016;4(4):e123 View
- Peterson C, Apolzan J, Wright C, Martin C. Video chat technology to remotely quantify dietary, supplement and medication adherence in clinical trials. British Journal of Nutrition 2016;116(9):1646 View
- Banna J, Panizza C, Boushey C, Delp E, Lim E. Association between Cognitive Restraint, Uncontrolled Eating, Emotional Eating and BMI and the Amount of Food Wasted in Early Adolescent Girls. Nutrients 2018;10(9):1279 View
- Harray A, Boushey C, Pollard C, Delp E, Ahmad Z, Dhaliwal S, Mukhtar S, Kerr D. A Novel Dietary Assessment Method to Measure a Healthy and Sustainable Diet Using the Mobile Food Record: Protocol and Methodology. Nutrients 2015;7(7):5375 View
- Ainaa Fatehah A, Poh B, Nik Shanita S, Wong J. Feasibility of Reviewing Digital Food Images for Dietary Assessment among Nutrition Professionals. Nutrients 2018;10(8):984 View
- Stanhope K. Sugar consumption, metabolic disease and obesity: The state of the controversy. Critical Reviews in Clinical Laboratory Sciences 2016;53(1):52 View
- Gemming L, Utter J, Ni Mhurchu C. Image-Assisted Dietary Assessment: A Systematic Review of the Evidence. Journal of the Academy of Nutrition and Dietetics 2015;115(1):64 View
- Rabbi M, Pfammatter A, Zhang M, Spring B, Choudhury T. Automated Personalized Feedback for Physical Activity and Dietary Behavior Change With Mobile Phones: A Randomized Controlled Trial on Adults. JMIR mHealth and uHealth 2015;3(2):e42 View
- Christoph M, Loman B, Ellison B. Developing a digital photography-based method for dietary analysis in self-serve dining settings. Appetite 2017;114:217 View
- Eldridge A, Piernas C, Illner A, Gibney M, Gurinović M, De Vries J, Cade J. Evaluation of New Technology-Based Tools for Dietary Intake Assessment—An ILSI Europe Dietary Intake and Exposure Task Force Evaluation. Nutrients 2018;11(1):55 View
- Ji Y, Plourde H, Bouzo V, Kilgour R, Cohen T. Validity and Usability of a Smartphone Image-Based Dietary Assessment App Compared to 3-Day Food Diaries in Assessing Dietary Intake Among Canadian Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(9):e16953 View
- Kerr D, Pollard C, Howat P, Delp E, Pickering M, Kerr K, Dhaliwal S, Pratt I, Wright J, Boushey C. Connecting Health and Technology (CHAT): protocol of a randomized controlled trial to improve nutrition behaviours using mobile devices and tailored text messaging in young adults. BMC Public Health 2012;12(1) View
- Lee J, Song S, Ahn J, Kim Y, Lee J. Use of a Mobile Application for Self-Monitoring Dietary Intake: Feasibility Test and an Intervention Study. Nutrients 2017;9(7):748 View
- Zapata-Lamana R, Lalanza J, Losilla J, Parrado E, Capdevila L. mHealth technology for ecological momentary assessment in physical activity research: a systematic review. PeerJ 2020;8:e8848 View
- Boeing H. Nutritional epidemiology: New perspectives for understanding the diet-disease relationship?. European Journal of Clinical Nutrition 2013;67(5):424 View
- Bathgate K, Sherriff J, Leonard H, Dhaliwal S, Delp E, Boushey C, Kerr D. Feasibility of Assessing Diet with a Mobile Food Record for Adolescents and Young Adults with Down Syndrome. Nutrients 2017;9(3):273 View
- Chung L, Law Q, Fong S, Chung J, Yuen P. A cost-effectiveness analysis of teledietetics in short-, intermediate-, and long-term weight reduction. Journal of Telemedicine and Telecare 2015;21(5):268 View
- Derbyshire E, Dancey D. Smartphone Medical Applications for Women’s Health: What Is the Evidence-Base and Feedback?. International Journal of Telemedicine and Applications 2013;2013:1 View
- Sanghvi A, Redman L, Martin C, Ravussin E, Hall K. Validation of an inexpensive and accurate mathematical method to measure long-term changes in free-living energy intake. The American Journal of Clinical Nutrition 2015;102(2):353 View
- Béjar L, García-Perea M, Reyes Ó, Vázquez-Limón E. Relative Validity of a Method Based on a Smartphone App (Electronic 12-Hour Dietary Recall) to Estimate Habitual Dietary Intake in Adults. JMIR mHealth and uHealth 2019;7(4):e11531 View
- Béjar L. First evaluation steps of a new method for dietary intake estimation regarding a list of key food groups in adults and in different sociodemographic and health-related behaviour strata. Public Health Nutrition 2017;20(15):2660 View
- Kim S, Chung S. Development and User Satisfaction of a Mobile Phone Application for Image-based Dietary Assessment. Korean Journal of Community Nutrition 2017;22(6):485 View
- Gibney M, Walsh M. The future direction of personalised nutrition: my diet, my phenotype, my genes. Proceedings of the Nutrition Society 2013;72(2):219 View
- Bejar L, Sharp B, García-Perea M. The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire. JMIR Research Protocols 2016;5(4):e208 View
- Sun M, Burke L, Baranowski T, Fernstrom J, Zhang H, Chen H, Bai Y, Li Y, Li C, Yue Y, Li Z, Nie J, Sclabassi R, Mao Z, Jia W. An Exploratory Study on a Chest‐Worn Computer for Evaluation of Diet, Physical Activity and Lifestyle. Journal of Healthcare Engineering 2015;6(1):1 View
- Boushey C, Harray A, Kerr D, Schap T, Paterson S, Aflague T, Bosch Ruiz M, Ahmad Z, Delp E. How Willing Are Adolescents to Record Their Dietary Intake? The Mobile Food Record. JMIR mHealth and uHealth 2015;3(2):e47 View
- Béjar L, Reyes Ó, García-Perea M. Electronic 12-Hour Dietary Recall (e-12HR): Comparison of a Mobile Phone App for Dietary Intake Assessment With a Food Frequency Questionnaire and Four Dietary Records. JMIR mHealth and uHealth 2018;6(6):e10409 View
- Arens-Volland A, Spassova L, Bohn T. Promising approaches of computer-supported dietary assessment and management—Current research status and available applications. International Journal of Medical Informatics 2015;84(12):997 View
- Rollo M, Williams R, Burrows T, Kirkpatrick S, Bucher T, Collins C. What Are They Really Eating? A Review on New Approaches to Dietary Intake Assessment and Validation. Current Nutrition Reports 2016;5(4):307 View
- Casperson S, Sieling J, Moon J, Johnson L, Roemmich J, Whigham L. A Mobile Phone Food Record App to Digitally Capture Dietary Intake for Adolescents in a Free-Living Environment: Usability Study. JMIR mHealth and uHealth 2015;3(1):e30 View
- Aflague T, Leon Guerrero R, Delormier T, Novotny R, Wilkens L, Boushey C. Examining the Influence of Cultural Immersion on Willingness to Try Fruits and Vegetables among Children in Guam: The Traditions Pilot Study. Nutrients 2019;12(1):18 View
- da Costa F, Schmoelz C, Davies V, Di Pietro P, Kupek E, de Assis M. Assessment of Diet and Physical Activity of Brazilian Schoolchildren: Usability Testing of a Web-Based Questionnaire. JMIR Research Protocols 2013;2(2):e31 View
- Bruening M, van Woerden I, Todd M, Brennhofer S, Laska M, Dunton G. A Mobile Ecological Momentary Assessment Tool (devilSPARC) for Nutrition and Physical Activity Behaviors in College Students: A Validation Study. Journal of Medical Internet Research 2016;18(7):e209 View
- Eslick S, Jensen M, Collins C, Gibson P, Hilton J, Wood L. Characterising a Weight Loss Intervention in Obese Asthmatic Children. Nutrients 2020;12(2):507 View
- Chow C, Hall K. Short and long-term energy intake patterns and their implications for human body weight regulation. Physiology & Behavior 2014;134:60 View
- Fitt E, Cole D, Ziauddeen N, Pell D, Stickley E, Harvey A, Stephen A. DINO (Diet In Nutrients Out) – an integrated dietary assessment system. Public Health Nutrition 2015;18(2):234 View
- Ashman A, Collins C, Brown L, Rae K, Rollo M. Validation of a Smartphone Image-Based Dietary Assessment Method for Pregnant Women. Nutrients 2017;9(1):73 View
- Gemming L, Doherty A, Kelly P, Utter J, Ni Mhurchu C. Feasibility of a SenseCam-assisted 24-h recall to reduce under-reporting of energy intake. European Journal of Clinical Nutrition 2013;67(10):1095 View
- Gibney M, McNulty B, Ryan M, Walsh M. Nutritional Phenotype Databases and Integrated Nutrition: From Molecules to Populations. Advances in Nutrition 2014;5(3):352S View
- Wang J, Hsieh R, Tung Y, Chen Y, Yang C, Chen Y. Evaluation of a Technological Image-Based Dietary Assessment Tool for Children during Pubertal Growth: A Pilot Study. Nutrients 2019;11(10):2527 View
- Hongu N, Pope B, Bilgiç P, Orr B, Suzuki A, Kim A, Merchant N, Roe D. Usability of a smartphone food picture app for assisting 24-hour dietary recall: a pilot study. Nutrition Research and Practice 2015;9(2):207 View
- Segovia-Siapco G, Sabaté J. Using Personal Mobile Phones to Assess Dietary Intake in Free-Living Adolescents: Comparison of Face-to-Face Versus Telephone Training. JMIR mHealth and uHealth 2016;4(3):e91 View
- Burrows T, Golley R, Khambalia A, McNaughton S, Magarey A, Rosenkranz R, Alllman‐Farinelli M, Rangan A, Truby H, Collins C. The quality of dietary intake methodology and reporting in child and adolescent obesity intervention trials: a systematic review. Obesity Reviews 2012;13(12):1125 View
- Lytle L, Nicastro H, Roberts S, Evans M, Jakicic J, Laposky A, Loria C. Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Behavioral Domain. Obesity 2018;26(S2) View
- Panizza C, Lim U, Yonemori K, Cassel K, Wilkens L, Harvie M, Maskarinec G, Delp E, Lampe J, Shepherd J, Le Marchand L, Boushey C. Effects of Intermittent Energy Restriction Combined with a Mediterranean Diet on Reducing Visceral Adiposity: A Randomized Active Comparator Pilot Study. Nutrients 2019;11(6):1386 View
- Turner T, Spruijt‐Metz D, Wen C, Hingle M. Prevention and treatment of pediatric obesity using mobile and wireless technologies: a systematic review. Pediatric Obesity 2015;10(6):403 View
- Boushey C, Spoden M, Delp E, Zhu F, Bosch M, Ahmad Z, Shvetsov Y, DeLany J, Kerr D. Reported Energy Intake Accuracy Compared to Doubly Labeled Water and Usability of the Mobile Food Record among Community Dwelling Adults. Nutrients 2017;9(3):312 View
- Ho T, Lee C, Wong S, Lau Y. Internet-based self-monitoring interventions for overweight and obese adolescents: A systematic review and meta-analysis. International Journal of Medical Informatics 2018;120:20 View
- Kerr D, Dhaliwal S, Pollard C, Norman R, Wright J, Harray A, Shoneye C, Solah V, Hunt W, Zhu F, Delp E, Boushey C. BMI is Associated with the Willingness to Record Diet with a Mobile Food Record among Adults Participating in Dietary Interventions. Nutrients 2017;9(3):244 View
- Spook J, Paulussen T, Kok G, Van Empelen P. Monitoring Dietary Intake and Physical Activity Electronically: Feasibility, Usability, and Ecological Validity of a Mobile-Based Ecological Momentary Assessment Tool. Journal of Medical Internet Research 2013;15(9):e214 View
- Raatz S, Scheett A, Johnson L, Jahns L. Validity of Electronic Diet Recording Nutrient Estimates Compared to Dietitian Analysis of Diet Records: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(1):e21 View
- Aflague T, Boushey C, Guerrero R, Ahmad Z, Kerr D, Delp E. Feasibility and Use of the Mobile Food Record for Capturing Eating Occasions among Children Ages 3–10 Years in Guam. Nutrients 2015;7(6):4403 View
- Storey K. A changing landscape. Current Opinion in Clinical Nutrition and Metabolic Care 2015;18(5):437 View
- Banna J, Buchthal O, Delormier T, Creed-Kanashiro H, Penny M. Influences on eating: a qualitative study of adolescents in a periurban area in Lima, Peru. BMC Public Health 2015;16(1) View
- Probst Y, Zammit G. Predictors for Reporting of Dietary Assessment Methods in Food-based Randomized Controlled Trials over a Ten-year Period. Critical Reviews in Food Science and Nutrition 2016;56(12):2069 View
- Banna J. Considerations for Evaluation of Diabetes Prevention Programs in Hispanic Adults in the United States. American Journal of Lifestyle Medicine 2018;12(1):21 View
- Boushey C, Delp E, Ahmad Z, Wang Y, Roberts S, Grattan L. Dietary assessment of domoic acid exposure: What can be learned from traditional methods and new applications for a technology assisted device. Harmful Algae 2016;57:51 View
- Taylor J, Johnson R. Farm to School as a strategy to increase children's fruit and vegetable consumption in the United States: Research and recommendations. Nutrition Bulletin 2013;38(1):70 View
- Schembre S, Liao Y, O'Connor S, Hingle M, Shen S, Hamoy K, Huh J, Dunton G, Weiss R, Thomson C, Boushey C. Mobile Ecological Momentary Diet Assessment Methods for Behavioral Research: Systematic Review. JMIR mHealth and uHealth 2018;6(11):e11170 View
- Comulada W, Swendeman D, Koussa M, Mindry D, Medich M, Estrin D, Mercer N, Ramanathan N. Adherence to self-monitoring healthy lifestyle behaviours through mobile phone-based ecological momentary assessments and photographic food records over 6 months in mostly ethnic minority mothers. Public Health Nutrition 2018;21(4):679 View
- Park S, Palvanov A, Lee C, Jeong N, Cho Y, Lee H. The development of food image detection and recognition model of Korean food for mobile dietary management. Nutrition Research and Practice 2019;13(6):521 View
- Rangan A, O'Connor S, Giannelli V, Yap M, Tang L, Roy R, Louie J, Hebden L, Kay J, Allman-Farinelli M. Electronic Dietary Intake Assessment (e-DIA): Comparison of a Mobile Phone Digital Entry App for Dietary Data Collection With 24-Hour Dietary Recalls. JMIR mHealth and uHealth 2015;3(4):e98 View
- Chen Y, Wong J, Ayob A, Othman N, Poh B. Can Malaysian Young Adults Report Dietary Intake Using a Food Diary Mobile Application? A Pilot Study on Acceptability and Compliance. Nutrients 2017;9(1):62 View
- Rivera J, McPherson A, Hamilton J, Birken C, Coons M, Peters M, Iyer S, George T, Nguyen C, Stinson J. User-Centered Design of a Mobile App for Weight and Health Management in Adolescents With Complex Health Needs: Qualitative Study. JMIR Formative Research 2018;2(1):e7 View
- Sharp D, Allman-Farinelli M. Feasibility and validity of mobile phones to assess dietary intake. Nutrition 2014;30(11-12):1257 View
- Ahn Y, Bae J, Kim H. The development of a mobile u-Health program and evaluation for self-diet management for diabetic patients. Nutrition Research and Practice 2016;10(3):342 View
- Stephen A, Mak T, Fitt E, Nicholson S, Roberts C, Sommerville J. Innovations in national nutrition surveys. Proceedings of the Nutrition Society 2013;72(1):77 View
- Rollo M, Ash S, Lyons-Wall P, Russell A. Evaluation of a Mobile Phone Image-Based Dietary Assessment Method in Adults with Type 2 Diabetes. Nutrients 2015;7(6):4897 View
- Zhao X, Xu X, Li X, He X, Yang Y, Zhu S. Emerging trends of technology-based dietary assessment: a perspective study. European Journal of Clinical Nutrition 2021;75(4):582 View
- Vasiloglou M, van der Horst K, Stathopoulou T, Jaeggi M, Tedde G, Lu Y, Mougiakakou S. The Human Factor in Automated Image-Based Nutrition Apps: Analysis of Common Mistakes Using the goFOOD Lite App. JMIR mHealth and uHealth 2021;9(1):e24467 View
- Zhang L, Misir A, Boshuizen H, Ocké M. A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps. Advances in Nutrition 2021;12(6):2321 View
- Davies A, Shi Y, Bauman A, Allman-Farinelli M. Validity of New Technologies That Measure Bone-Related Dietary and Physical Activity Risk Factors in Adolescents and Young Adults: A Scoping Review. International Journal of Environmental Research and Public Health 2021;18(11):5688 View
- Papadimitriou N, Markozannes G, Kanellopoulou A, Critselis E, Alhardan S, Karafousia V, Kasimis J, Katsaraki C, Papadopoulou A, Zografou M, Lopez D, Chan D, Kyrgiou M, Ntzani E, Cross A, Marrone M, Platz E, Gunter M, Tsilidis K. An umbrella review of the evidence associating diet and cancer risk at 11 anatomical sites. Nature Communications 2021;12(1) View
- Banna J, Danible K, Panizza C, Boushey C, Kerr D, Zhu F. A Novel to Method to Measure Food Waste: The Mobile Food Record. Journal of Extension 2021;59(Summer 2021) View
- Zuppinger C, Taffé P, Burger G, Badran-Amstutz W, Niemi T, Cornuz C, Belle F, Chatelan A, Paclet Lafaille M, Bochud M, Gonseth Nusslé S. Performance of the Digital Dietary Assessment Tool MyFoodRepo. Nutrients 2022;14(3):635 View
- Liu C, Cao Y, Luo Y, Chen G, Vokkarane V, Yunsheng M, Chen S, Hou P. A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure. IEEE Transactions on Services Computing 2018;11(2):249 View
- Ding Y, Lu X, Xie Z, Jiang T, Song C, Wang Z. Evaluation of a Novel WeChat Applet for Image-Based Dietary Assessment among Pregnant Women in China. Nutrients 2021;13(9):3158 View
- Caon M, Prinelli F, Angelini L, Carrino S, Mugellini E, Orte S, Serrano J, Atkinson S, Martin A, Adorni F. PEGASO e-Diary: User Engagement and Dietary Behavior Change of a Mobile Food Record for Adolescents. Frontiers in Nutrition 2022;9 View
- Karamnova N, Izmailova O, Shvabskaia O. Nutrition research methods: usage cases, possibilities, and limitations. Profilakticheskaya meditsina 2021;24(8):109 View
- Tanweer A, Khan S, Mustafa F, Imran S, Humayun A, Hussain Z. Improving dietary data collection tools for better nutritional assessment – A systematic review. Computer Methods and Programs in Biomedicine Update 2022;2:100067 View
- Tahir G, Loo C. A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment. Healthcare 2021;9(12):1676 View
- Fialkowski M, Kai J, Young C, Langfelder G, Ng-Osorio J, Shao Z, Zhu F, Kerr D, Boushey C. An Active Image-Based Mobile Food Record Is Feasible for Capturing Eating Occasions among Infants Ages 3–12 Months Old in Hawai‘i. Nutrients 2022;14(5):1075 View
- Ploderer B, Rezaei Aghdam A, Burns K. Patient-Generated Health Photos and Videos Across Health and Well-being Contexts: Scoping Review. Journal of Medical Internet Research 2022;24(4):e28867 View
- Tanweer A, Zia M, Riaz K, Mushtaq H, Siddique M, Imran S, Humayun A, Hussain Z. Comparing the web-based and traditional self-reported 24-hour dietary recall data in the PakNutriStudy. Computer Methods and Programs in Biomedicine 2023;240:107682 View
- Fan R, Chen Q, Song L, Wang S, You M, Cai M, Wang X, Li Y, Xu M. The Validity and Feasibility of Utilizing the Photo-Assisted Dietary Intake Assessment among College Students and Elderly Individuals in China. Nutrients 2024;16(2):211 View
- Nabitchita B, Gonçalves N, Coelho P, Pimenta L, Zdravevski E, Lameski P, Costa M, Neves P, Pires I. Methods for volume inference of non-medical objects from images: A short review. Journal of Ambient Intelligence and Smart Environments 2024:1 View
- van der Heijden Z, de Gooijer F, Camps G, Lucassen D, Feskens E, Lasschuijt M, Brouwer-Brolsma E. User Requirements in Developing a Novel Dietary Assessment Tool for Children: Mixed Methods Study. JMIR Formative Research 2024;8:e47850 View
- Wang B, Bu T, Hu Z, Yang L, Zhao Y, Li X. Coarse-to-Fine Nutrition Prediction. IEEE Transactions on Multimedia 2024;26:3651 View
- Oei K, Choi E, Bar-Dayan A, Stinson J, Palmert M, Alfonsi J, Hamilton J. An Image-Recognition Dietary Assessment App for Adolescents With Obesity: Pilot Randomized Controlled Trial. JMIR Formative Research 2024;8:e58682 View
- Foster-Nicholas L, Shavlik D, Heskey C, Dyett P, Segovia-Siapco G. Validity and Reproducibility of a Culture-Specific Electronic Food Frequency Questionnaire: A Trinidad and Tobago Diet Assessment Study. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
- Tagi M, Hamada Y, Shan X, Ozaki K, Kubota M, Amano S, Sakaue H, Suzuki Y, Konishi T, Hirose J. A Food Intake Estimation System Using an Artificial Intelligence–Based Model for Estimating Leftover Hospital Liquid Food in Clinical Environments: Development and Validation Study. JMIR Formative Research 2024;8:e55218 View
- Yu Y, Zhang Z, Gao X, Hu S, Speakman J. Dietary Patterns of Healthy Underweight Individuals Compared to Normal-BMI Individuals Using Photographic Food Diaries. Nutrients 2024;16(21):3637 View
- Chotwanvirat P, Prachansuwan A, Sridonpai P, Kriengsinyos W. Advancements in Using AI for Dietary Assessment Based on Food Images: Scoping Review. Journal of Medical Internet Research 2024;26:e51432 View
Books/Policy Documents
- Cui Y, Balshaw D. Unraveling the Exposome. View
- Fang S, Liu C, Zhu F, Boushey C, Delp E. New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops. View
- Boeing H, Margetts B. Handbook of Epidemiology. View
- . Childhood Obesity. View
- Braconi D, Cicaloni V, Spiga O, Santucci A. Trends in Personalized Nutrition. View
- Xu X, Hou L, Guo Z, Wang J, Li J. Big Data – BigData 2018. View
- Liu C, Cao Y, Luo Y, Chen G, Vokkarane V, Ma Y. Inclusive Smart Cities and Digital Health. View
- Saraf S, Bagaria R, Kuresan H, Dhanalakshmi S. Smart Trends in Computing and Communications. View
- Bagaria R, Krithiga , Tripathi A, Ayush K. Human-Centric Smart Computing. View